1.2. About Numpy

• NumPy is the fundamental package for scientific computing with Python

• a powerful N-dimensional array object

• sophisticated (broadcasting) functions

• tools for integrating C/C++ and Fortran code

• useful linear algebra, Fourier transform, and random number capabilities

NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

• https://www.numpy.org/

1.2.1. Installation

Installation:

$ pip install numpy

Upgrade:

$ pip install --upgrade numpy

Check version:

>>> import numpy as np
>>>
>>> np.__version__  
'1.24.4'

1.2.2. Further Reading

• http://www.labri.fr/perso/nrougier/teaching/numpy.100/

• https://github.com/rougier/numpy-100